Instructions to use TheCoderScientist/GarudaCoder-27B-ID-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheCoderScientist/GarudaCoder-27B-ID-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/temp/qwen38-27b-4bit") model = PeftModel.from_pretrained(base_model, "TheCoderScientist/GarudaCoder-27B-ID-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-91/training_args.bin from TheCoderScientist/GarudaCoder-27B-ID-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/TheCoderScientist/GarudaCoder-27B-ID-lora/resolve/main/checkpoint-91/training_args.bin
- Command line
-
hf download hf://TheCoderScientist/GarudaCoder-27B-ID-lora/checkpoint-91/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TheCoderScientist/GarudaCoder-27B-ID-lora/resolve/main/checkpoint-91/training_args.bin
5.71 kB
- Xet hash:
- 25b1d07fe252a7bac726760d40e815a9189bf5c573599b8ae9f96b1d6951abf6
- Size of remote file:
- 5.71 kB
- SHA256:
- 2e98c4e47e436fafe01761b877359d404c5149d6428639c84dbbf500fbfeb78e
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